Name
Abstract | ||
|---|---|---|
To engage in natural interactions with humans, social robots should produce speech-accompanying non-verbal behaviors such as hand and arm gestures. Given the special constraints imposed by the physical properties of a humanoid robot, successful multimodal synchronization is difficult to achieve. Introducingätheäfirstäclosed-loopäapproachätoäspeech and gesture generation for humanoid robots, we propose a multimodal scheduler for improved synchronization based on two novel features, namely an experimentally fitted forward model and a feedback-based adaptation mechanism. Technical results obtained with the implemented scheduler demonstrate the feasibility of our approach; empirical results from an evaluation study highlight the implications of the present work. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1007/978-3-319-02675-6_38 | ICSR |
Keywords | Field | DocType |
multimodal interaction and conversational skills,robot gesture,social human-robot interaction,speech-gesture synchrony | Social robot,Synchronization,Gesture,Computer science,Simulation,Human–computer interaction,Robot,Humanoid robot | Conference |
Volume | ISSN | Citations |
8239 | 0302-9743 | 1 |
PageRank | References | Authors |
0.35 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maha Salem | 1 | 217 | 13.30 |
| Stefan Kopp | 2 | 701 | 58.13 |
| Frank Joublin | 3 | 261 | 23.99 |